过刊检索
年份
《城市交通》杂志
2019年 第3期
大数据在广州市第三次交通综合调查中的应用
点击量:595

文章编号: 1672-5328(2019)03-0030-09

苏跃江1,陈先龙2, 3,吴德馨1
(1.广州市交通运输研究所,广东广州510627;2.广州市交通规划研究院,广东广州510030;3.同济大学道路与 交通工程教育部重点实验室,上海201804)

摘要: 传统抽样调查往往是调查某个时段某类群体的个体属性和出行信息,难以确定个体的连续活 动模式和活动特征。而利用大数据进行连续的特征追踪、动态观测和分析个体的空间活动特征成为 可能。首先分析传统抽样调查与大数据挖掘的差别与关系,进而总结北京、上海、广州城市交通综 合调查的演变历程及特点。以广州市为例进行实证研究,梳理2017 年广州市第三次交通综合调查 的框架和特点,从挖掘特殊指标、实现多源数据相互补充与校核两个层面探讨大数据在交通综合调 查中的作用。

关键词: 交通规划;大数据;抽样调查;数据融合;广州市

中图分类号: U491.1+1

文献标识码:A

Using Big Data in the Third Transportation Comprehensive Survey in Guangzhou

Su Yuejiang1, Chen Xianlong2, 3,Wu Dexin1
(1.Guangzhou Transport Research Institute, Guangzhou Guangdong 510627, China; 2.Guangzhou Transport Planning Research Institute, Guangzhou Guangdong 510030, China; 3.Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China)

Abstract: The traditional sampling survey generally focuses on the individual attributes and travel information of a certain group during the certain time period, which is difficult to determine the continuous activity patterns and characteristics of the individual travelers. The use of big data enables us to track trip characteristics continuously, observe the data dynamically, and thus to analyze individual's spatial activities. This paper first discusses the differences and relationships between the traditional sampling survey methods and big data exploration method. Then the evolution and characteristics of transportation comprehensive surveys in Beijing, Shanghai and Guangzhou are summarized. Taking Guangzhou as an example, the paper reviews the framework and characteristics of the third transportation comprehensive survey in Guangzhou in 2017. The paper discusses the role of big data in transportation comprehensive survey in two aspects: analyzing special indicators, and supplement and verification by multi-source data.

Keywords: transportation planning; big data; sampling survey; data fusion; Guangzhou